جست‌وجوی استاد و پژوهشگر

Martin Venkerمشاهده پروفایل

استادیار

• Probability Theory
• Random Matrix Theory
• High-dimensional Probability

Martin Venker is an Assistant Professor at the School of Mathematical Sciences, Dublin City University (DCU), specializing in probability theory with a focus on random matrix theory and high-dimensional convex sets. He joined DCU in 2020 after completing post-doctoral research at Bielefeld University, Louvain-La-Neuve, and Bochum University. PhD from Bielefeld University (2011) Post-doctoral roles in Germany, Belgium, and Germany Teaching Convenor at DCU's School of Mathematical Sciences His research explores the intersection of random matrix theory and high-dimensional probability, with recent work addressing universality, non-intersecting Brownian motions, and moment problems under constraints. Trends in his publications span asymptotic analysis, critical behavior of particle systems, and Gaussian perturbations of Hermitian matrices. Scientific Awards: President's Award for Teaching and Learning, New Lecturer Category (winner) (2023) He coordinates modules such as Probability I (MS117), Probability II (MS232), and Stochastic Modelling (MS308) at DCU, contributing to undergraduate and graduate education in mathematical sciences.

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +۷ مورد دیگر

Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.

• Algebraic Coding Theory
• Network Coding
• Rank Metric Codes
• +۵ مورد دیگر

Assoc Professor Eimear Byrne is an academic at the School of Mathematics and Statistics, University College Dublin (UCD). She holds editorial roles, including membership on the editorial board of the Advances in the Mathematics of Communications . Her research focuses on algebraic coding theory, network coding, rank metric codes, and applications in wireless communications. She has been involved in grants such as the Discrete Mathematical Approach for Power Saving Coding Scheme of Wireless Body Area Networks (funded by Japan Society for the Promotion of Science) and the Renewable energy extraction from volcanoes project. Education: B.A. in Mathematics from Trinity College Dublin, M.Sc. from UCD, and Ph.D. from University College Cork (UCC). Academic positions include College Lecturer at UCD (2003–present), Postdoctoral Fellowships at National University of Ireland, Maynooth (2002–2003), and University College Cork (2000–2001), with a Visiting Professorship at the University of Notre Dame (2004). Research interests span algebraic coding theory, including codes over rings, linear codes, APN functions, and applications in network and wireless communications. She has supervised a PhD student (external advisor, 2015) and actively contributes to professional activities like peer-review for IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and others. Teaching includes modules like Galois Theory , Coding Theory , Cryptography , Matrix Algebra , and Rank Metric Codes . Her work bridges theoretical mathematics with practical applications in information security and distributed computing.

• Numerical Linear Algebra
• Ill-posed Problems
• Krylov Subspace Methods
• +۲ مورد دیگر

Kirk Soodhalter is the Ussher Assistant Professor in Numerical Analysis at the School of Mathematics, Trinity College Dublin. His research focuses on numerical linear algebra, ill-posed problems, Krylov subspace methods, and high-performance computing applications. He can be reached at ksoodha@maths.tcd.ie and is based in Office 244 of the Llyod Building. His work integrates advanced computational techniques with applications in astrophysics, fluid dynamics, and quantum computing. Research Interests: His primary areas include developing efficient iterative methods for large-scale linear systems, particularly those arising in PDEs and quantum algorithms. He explores Krylov subspace recycling, preconditioning strategies, and sparse grid sampling to address challenges in numerical stability and computational efficiency. Publications: Recent work demonstrates contributions to quantum super-Krylov methods for ground state estimation, fast solutions for Sylvester-structured systems in astrophysics, and hybrid iterative techniques for ill-posed problems. His articles often emphasize high-performance computing frameworks and their practical implementations. Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: No student advisees or grant details listed. His research is primarily conducted through Trinity College Dublin's School of Mathematics infrastructure.

Martin Craneمشاهده پروفایل

استاد

• Computational Finance
• Complex Systems
• Time Series Analysis
• +۱ مورد دیگر

Martin Crane is Professor and Head of School at Dublin City University School of Computing. Funded Investigator in ADAPT Centre, with PhD in Mechanical Engineering from Trinity College Dublin. Research spans computational finance, complex systems modeling, and high-performance computing applications. Key research areas: Time series analysis in finance/biology Complex systems in finance, immunology, and lifelogging Wavelet methods for market analysis Parallel computing for large-scale simulations Current projects examine cryptocurrency dynamics, healthcare analytics, and brain tumor segmentation using deep learning. Leads FinTech Fusion initiative exploring financial technology applications. Authored significant works on random matrix theory filters for portfolio optimization and agent-based HIV modeling.

Padraig Ó Cathainمشاهده پروفایل

مدرس

• Mathematics
• Algebra
• Combinatorics
• +۳ مورد دیگر

Dr. Padraig Ó Cathain is a Lecturer in the School of Enterprise and Irish at Dublin City University, where Irish is the primary language of instruction. His academic career includes roles as a postdoc at the University of Queensland (2012–2015), Aalto University (2015–2016), and as an Assistant Professor at Worcester Polytechnic Institute (2016–2021). He holds a PhD in Mathematics (Algebraic Combinatorics) from the University of Galway (2012). His research focuses on algebra, combinatorics, and their applications, including design theory, signal processing, and private communication systems. Notable contributions include work on Hadamard matrices, compressed sensing, and combinatorial cryptography. He was awarded the 2015 Kirkman Medal by the Institute of Combinatorics and its Applications for his early-career achievements. Dr. Ó Cathain’s teaching spans discrete mathematics and algebra across undergraduate and postgraduate levels. His research collaborations include projects with Prof. Darryn Bryant (design theory), Prof. Petteri Kaski (computational complexity), and Prof. Camilla Hollanti (mathematics for secure communication).

Oliver Masonمشاهده پروفایل

استاد

• Systems and Control Theory
• Matrix Theory
• Mathematics of Data Privacy
• +۴ مورد دیگر

Oliver Mason is a Professor at Maynooth University's Faculty of Science & Engineering , specializing in Mathematics and Statistics . His academic career includes significant contributions to systems theory, matrix analysis, and data privacy. PhD in Lyapunov Stability Theory (2004, Maynooth University) Prior work in satellite communications and Institute of Technology sector Research Interests : Systems and Control Theory for switched systems with time-delay and uncertainty Matrix Theory including D-stability and diagonal stability Mathematics of Data Privacy with focus on differential privacy Max-Algebra applications in asymptotic behavior analysis Wave Energy Converters (WECs) performance optimization Recent Publications show expertise across Ecological Modeling (2023), Control Theory (2022-2018), Linear Algebra (2018-2015), and Data Privacy (2020-2016). Teaching includes modules like Numerical Analysis, Mathematical Biology, and Computational Tools for Research. Professional Roles : Organizer of Hamilton Institute Workshops, TPC member for multiple international conferences.